Implications of prosthesis funding structures on the use of prostheses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: While sparsely researched, funding structures may play an important role in use of and satisfaction with prostheses and related health services. OBJECTIVES: The objectives of this study were to (1) quantify the direct costs of prosthesis wear, (2) explore variations in funding distribution, and (3) describe the role of affordability in prosthesis selection and wear. STUDY DESIGN: An anonymous, online cross-sectional descriptive survey was administered. METHODS: Analyses were conducted of qualitative and quantitative data extracted from an international sample of 242 individuals with upper limb absence. RESULTS: Access to prosthesis funding was variable and fluctuated with age, level of limb absence and country of care. Of individuals who gave details on prosthetic costs, 63% (n = 69) were fully reimbursed for their prosthetic expenses, while 37% (n = 40) were financially disadvantaged by the cost of components (mean [SD] US$9,574 [$9,986]) and their ongoing maintenance (US$1,936 [$3,179]). Of the 71 non-wearers in this study, 48% considered cost an influential factor in their decision not to adopt prosthesis use. CONCLUSIONS: Prosthesis funding is neither homogeneous nor transparent and can be influential in both the selection and use of a prosthetic device. CLINICAL RELEVANCE: Inequitable access to prosthesis funding is evident in industrialized nations and may lead to prosthesis abandonment and/or diminished quality of life for individuals with upper limb absences. Increased efforts are required to ensure equitable access to upper limb prosthetics and related services in line with individuals' needs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it